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Azure Big Data Engineer Jobs in Oregon (NOW HIRING)

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Company Description Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite ... Work with cloud platforms such as Azure, AWS, or GCP , with preference for Azure . * Develop and ...

3B Staffing LLC

Big Data - Spark with Scala

Happy Valley, OR · On-site

$55.75 - $72.25/hr

Hands on experience working on Big Data Technologies - Spark is mandatory * Strong understanding on Big data platforms and experience in AWS is mandatory * Should have experience with ETL using Spark ...

3B Staffing LLC

Big Data - Spark with Scala

Happy Valley, OR · On-site

$55.75 - $72.25/hr

Hands on experience working on Big Data Technologies - Spark is mandatory * Strong understanding on Big data platforms and experience in AWS is mandatory * Should have experience with ETL using Spark ...

Phaxis

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

* Role: Data Engineer ( Data Bricks) * Location: Oregon, Beaverton (Hybrid * 6+ years of IT ... Hands-on experience with Azure/AWS/GCP, preferably Azure, and orchestration tools (ADF/Airflow)

1872 Consulting

Data Engineer

Portland, OR · Hybrid

$121K - $145K/yr

Data Engineer Portland, OR - Hybrid onsite 2-3 days per week This position is available with one of ... Experience with AWS or Azure Cloud Services (AWS preferred) * Experience with Cloud-based Data ...

1872 Consulting

Data Engineer

Portland, OR · Hybrid

$121K - $145K/yr

Data Engineer Portland, OR - Hybrid onsite 2-3 days per week This position is available with one of ... Experience with AWS or Azure Cloud Services (AWS preferred) * Experience with Cloud-based Data ...

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ...

Phaxis

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer ( Data Bricks) * Location : Oregon, Beaverton (Hybrid) * No of Years -14+ Years * 14 ... Hands-on experience with Azure/AWS/GCP , preferably Azure, and orchestration tools (ADF/Airflow)

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Kynite

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... Azure Cloud. • Good hands on and troubleshooting experience with Linux. • Good hands on and ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... big data technologies like Spark or Flink and comfortable working with web-scale datasets You have ...

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All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Oregon

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What are popular job titles related to Azure Big Data Engineer jobs in Oregon?

For Azure Big Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Azure Big Data Engineer jobs in Oregon look for?

The top searched job categories for Azure Big Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for Azure Big Data Engineer jobs?

Cities in Oregon with the most Azure Big Data Engineer job openings:

Azure Big Data Engineer jobs near you

Data Engineer - Databricks

BuzzClan LLC

Beaverton, OR • On-site

$119K - $143K/yr

Contractor

Posted 9 days ago

Job description

Job Description

Data Engineer - Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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